Key result
AI and ML in cardio-obstetrics lack pregnancy-specific validation, equity evaluation, and prospective evidence of benefit.
Why the study?
Cardiovascular disease is the leading cause of death during pregnancy and postpartum in the United States, driving an urgent need for innovative approaches to reduce this burden.
This review highlights the current state and gaps of AI/ML applications in cardio-obstetrics and proposes a roadmap for responsible implementation.
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Current gaps warrant caution against routine AI use in cardio-obstetrics; leaves open prospective, equitable validation to guide future adoption.
Ebubechukwu et al. (2026) conducted a review in Cardiovascular disease in pregnancy. Artificial intelligence and machine learning was evaluated. Artificial intelligence and machine learning applications in cardio-obstetrics currently lack pregnancy-specific validation, equity evaluation, and prospective evidence of improved outcomes.
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